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Propensity score analysis methods with balancing constraints: A Monte Carlo study
Yan Li,
Liang Li
Biostatistics
Research output
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Contribution to journal
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Article
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peer-review
11
Scopus citations
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Dive into the research topics of 'Propensity score analysis methods with balancing constraints: A Monte Carlo study'. Together they form a unique fingerprint.
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Mathematics
Propensity Score
100%
Balancing
83%
Monte Carlo Study
80%
Covariates
61%
Weighting
22%
Inverse Probability Weighting
21%
Average Treatment Effect
11%
Model Specification
9%
Model
9%
Scoring
8%
Performance
8%
Monte Carlo Experiment
8%
Data-driven
8%
Specification
6%
Evidence
6%
Entropy
5%
kernel
4%
Estimate
3%
Medicine & Life Sciences
Propensity Score
78%
Weights and Measures
9%
Entropy
8%